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ResearchFormerly WizWand

Fine-grained Visual Classification on FGVC-Aircraft (test)

95.5Top-1 AccMMAL
91.54892.57493.694.626Jan 26, 2019Sep 7, 2019Apr 19, 2020Nov 30, 2020Jul 12, 2021Feb 22, 2022Oct 5, 2022
Updated 7mo ago

Evaluation results

MethodLinks
MMALintegrated_with_SAC=true2022.0595.5
SR-GNNBackbone=Xception, Attentional Refinement=true2022.0995.4
Relational ProxyBackbone=ResNet-50, Local views (k)=7, Averaged over runs=52022.1095.25
CAPBackbone=ResNet-502022.0994.9
CAP2022.1094.9
MMALintegrated_with_SAC=false2022.0594.7
MMAL2022.1094.7
TBMSL-Netapproach=multi-scale and multi-patch2020.0594.5
GHORDintegrated_with_SAC=false2022.0594.3
GaRDBackbone=ResNet-502022.0994.3
Baseline + CALBackbone=ResNet-1012021.0894.2
CALBackbone=ResNet1012022.0594.2
CALintegrated_with_SAC=false2022.0594.2
AttNet + AffNetsetting=2, passes=single-pass2020.0594.1
APCNBackbone=ResNet-502022.0994.1
DenseNet161+MM+FRLBackbone=DenseNet-1612020.1194
API-Net2020.0593.9
AttNet + AffNetsetting=1, passes=single-pass2020.0593.9
API-Net2020.1193.9
API-NetBackbone=DenseNet-1612021.0893.9
API-NetBackbone=DenseNet1612022.0593.9
WS_DANintegrated_with_SAC=true2022.0593.9
APINBackbone=DenseNet-1612022.0993.9
CMNBackbone=ResNet-502020.1293.8
DF-GMM2020.1193.8
DF-GMMintegrated_with_SAC=false2022.0593.8
CSCBackbone=ResNet-502022.0993.8
Ours_PMGInput Resolution=448x448, Backbone=PMG2020.1193.6
BaselineBackbone=ResNet-1012021.0893.6
PMGBackbone=ResNet-502022.0993.6
SCAPBackbone=ResNet-502022.0993.6
ELOPE2020.0593.5
ACEBackbone=DenseNet-161, Param. (M)=282019.1093.5
ELOPE2020.1193.5
SR-GNNBackbone=Xception, Attentional Refinement=false2022.0993.5
Attribute Mix (S3N)Backbone=ResNet-502020.0493.4
DFL2020.1193.4
PMGInput Resolution=448x4482020.1193.4
PMGBackbone=ResNet502022.0593.4
DenseNet161+MMBackbone=DenseNet-1612020.1193.3
Baseline + DCALBackbone=R50-ViT-Base2022.0593.3
CAMFBackbone=Swin Transformer, Vision Transformer=true2022.0993.3
ACEBackbone=ResNet-50, Param. (M)=242019.1093.2
GCL2020.1193.2
WSintegrated_with_SAC=true2022.0593.2
GCLBackbone=ResNet-502022.0993.2
ViTintegrated_with_SAC=true2022.0593.1
WS-DAN2019.0193
DCL2020.0393
DCL2020.0593
DCLBackbone=ResNet-502020.1293
DCLBackbone=ResNet-50, Param. (M)=~242019.1093
DCL2020.1193
API-NetInput Resolution=448x4482020.1193
WS-DAN2021.0893
DCL2021.0893
DCLBackbone=ResNet502022.0593
DCLintegrated_with_SAC=false2022.0593
WS_DANintegrated_with_SAC=false2022.0593
DCLBackbone=ResNet-502022.0993
GPipe2020.0592.9
Attribute Mix (MGE-CNN)Backbone=ResNet-502020.0492.9
PCBackbone=DenseNet-161, Param. (M)=28, re-implemented=true2019.1092.9
MCintegrated_with_SAC=false2022.0592.9
S3NBackbone=ResNet-502020.0492.8
S3NParam. (M)=101, re-implemented=true2019.1092.8
PMGParam. (M)=45, re-implemented=true2019.1092.8
S3N2020.1192.8
CIN2020.1192.8
OursInput Resolution=448x4482020.1192.8
S3NBackbone=ResNet502022.0592.8
CINBackbone=ResNet502022.0592.8
LIO/ResNet-50Backbone=ResNet-50, Multi-stage=true2020.0392.7
AutoAugm2020.0592.7
LIOBackbone=ResNet-502020.1292.7
LIOBackbone=ResNet502022.0592.7
SPSBackbone=ResNet502022.0592.7
Cross-XBackbone=ResNet-502020.1292.6
MC-LossInput Resolution=448x4482020.1192.6
Baseline + DCALBackbone=DeiT-Base2022.0592.6
RA-CNN2020.1192.5
LIO/ResNet-50Backbone=ResNet-50, Feature Map Size=7x72020.0392.4
LIO/ResNet-50Backbone=ResNet-50, Feature Map Size=28x282020.0392.4
ACNetBackbone=ResNet-502020.1292.4
ACNet2020.1192.4
BaselineBackbone=R50-ViT-Base2022.0592.4
ACNetintegrated_with_SAC=false2022.0592.4
LIO/ResNet-50Backbone=ResNet-50, Feature Map Size=14x142020.0392.3
WSintegrated_with_SAC=false2022.0592.3
MPN-COV + SEBBackbone=DenseNet-1692022.0592.3
DBBackbone=ResNet-50, Param. (M)=~242019.1092.1
ResNet-50integrated_with_SAC=true2022.0592.1
ViTintegrated_with_SAC=false2022.0592.1
DFL-CNN2019.0192
Attribute MixBackbone=ResNet-502020.0492
DTintegrated_with_SAC=true2022.0591.9
MA-CNN2020.1191.8
DFL-CNN2020.0391.7
DFL-CNNBackbone=ResNet-502020.1291.7
DFL-CNNBackbone=ResNet-50, Param. (M)=~242019.1091.7